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Self Aware Security for Real Time Task Schedules in Reconfigurable Hardware Platforms

Autor Krishnendu Guha, Sangeet Saha, Amlan Chakrabarti
en Limba Engleză Hardback – 24 aug 2021
This book focuses on how real-time task schedules for reconfigurable hardware-based embedded platforms may be affected due to the vulnerability of hardware and proposes self-aware security strategies to counteract the various threats. The emergence of Industry 4.0 has witnessed the deployment of reconfigurable hardware or field programmable gate arrays (FPGAs) in diverse embedded applications. These are associated with the execution of several real-time tasks arranged in schedules. However, they are associated with several issues. Development of fully and partially reconfigurable task schedules are discussed that eradicates the existing problems. However, such real-time task schedules may be jeopardized due to hardware threats. Analysis of such threats is discussed and self-aware security techniques are proposed that can detect and mitigate such threats at runtime.
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Specificații

ISBN-13: 9783030797003
ISBN-10: 3030797007
Pagini: 204
Ilustrații: XVIII, 183 p. 91 illus., 79 illus. in color.
Dimensiuni: 160 x 241 x 17 mm
Greutate: 0.43 kg
Ediția:1st ed. 2021
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Real-time Scheduling : Background and Trends.- Scheduling Algorithms for Reconfigurable Systems.- Introduction to Hardware Security for FPGA based Systems.- Bypassing Passive Attacks.- Counteracting Active Attacks.- Handling Power Draining Attacks.

Notă biografică

Dr. Krishnendu Guha is presently an Assistant Professor/ Lecturer in the School of Computer Science and Information Technology, University College Cork (UCC), Ireland. Prior to this, he was a Post Doctoral Research Associate in University of Florida, USA. He also held the position of an Assistant Professor (Temporary Faculty) in National Institute of Technology, Jamshedpur, India. He even served as a Visiting Scientist in Indian Statistical Institute, Kolkata, India. He completed his PhD from University of Calcutta, India as an INSPIRE Fellow under the Department of Science and Technology, Government of India. He was also associated with Intel India as a Research Fellow. He completed his MTech from University of Calcutta, where he secured the First Class First Rank and was the University Gold Medalist. He has published several research articles in top level journals, conferences and magazines and a book, published by Springer. He works as a reviewer for several IEEE and Springer journals and conferences. Presently, he is a member of IEEE, ACM and IAENG. Presently in Ireland, he heads the QuEST (Quantum and Embedded Security and Technologies) Research Group and is a part of CONNECT and CRT ADVANCE centers of Science Foundation Ireland. His research arena essentially involve Embedded Systems and Hardware Security, Quantum Computing, Real Time Systems Security with focus on cloud and IoT platforms. He also has a strong interest in Artificial Intelligence and Nature Inspired Approaches. Jyoti Prakash Singh is an Associate Professor in the Department of Computer Science and Engineering at the National Institute of Technology Patna, India. He has co-authored seven textbooks and one edited book. He has published over 80 international journal publications in SCIE-indexed journals of reputed publications such as IEEE, ACM, Springer, Elsevier, Taylor and Francis etc. He has also published more than 75 international conference proceedings. He has two Indian patents granted in the field of Malware Analysis for Mobile devices. He was involved as an investigator in the MeitY-sponsored project to develop algorithms for spam calls/fake calls in a telephonic conversation. Dr Singh has been recognized as "World ranking of the top 2% scientists" in the area of "Artificial Intelligence" (the year 2021 and 2022), according to a survey given by Stanford University, USA. He was awarded the S4DS Data Scientist (Academia) Award by the Society for Data Science in 2020. He is an Associate Editor of the International Journal of Electronic Government Research by IGI global and Network Computation in Neural Systems by Taylor & Francis. Amlan Chakrabarti is presently Professor and Director of A. K. Choudhury School of Information Technology (AKCSIT), University of Calcutta. Prior to this, he completed his post-doctoral research at Princeton University after completing his Ph.D. from the University of Calcutta in association with ISI, Kolkata. He has been associated with research projects funded by government agencies and industries related to Reconfigurable Architecture, VLSI Design, Security for Cyber-physical Systems, Internet of Things, Machine Learning, Computer Vision and Quantum Computing. He is the Series Editor of Springer Transactions on Computer Systems and Networks and Associate Editor of Elsevier Journal of Computers and Electrical Engineering. His present research interests include Reconfigurable Computing, Embedded Systems Design, VLSI Design, Quantum Computing and Computer Vision. He has published 200+ research papers international journals and conferences and has graduated 22 Ph.D. students to date. He is a Distinguished Visitor of IEEE Computer Society and Distinguished Speaker of ACM (2017-2020).

Textul de pe ultima copertă

This book focuses on how real-time task schedules for reconfigurable hardware-based embedded platforms may be affected due to the vulnerability of hardware and proposes self-aware security strategies to counteract the various threats. The emergence of Industry 4.0 has witnessed the deployment of reconfigurable hardware or field programmable gate arrays (FPGAs) in diverse embedded applications. These are associated with the execution of several real-time tasks arranged in schedules. However, they are associated with several issues. Development of fully and partially reconfigurable task schedules are discussed that eradicates the existing problems. However, such real-time task schedules may be jeopardized due to hardware threats. Analysis of such threats is discussed and self-aware security techniques are proposed that can detect and mitigate such threats at runtime.

Caracteristici

Presents the importance of real-time scheduling for reconfigurable hardware-based embedded platforms and related security needs Presents limitations of existing techniques and presents some new real-time scheduling techniques suitable for the embedded platform Presents design of self-aware security modules which can detect and mitigate the threats at runtime